{"id":"W2154203050","doi":"10.14430/arctic975","title":"Changes in Land Distribution of Polar Bears in Western Hudson Bay","year":2010,"lang":"en","type":"article","venue":"ARCTIC","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Environment and Protected Areas; University of Alberta","funders":"Churchill Northern Studies Centre; ArcticNet; Canadian Wildlife Federation; Parks Canada; Nunavut Wildlife Research Trust","keywords":"Ursus maritimus; Bay; Distribution (mathematics); Geography; Population; Breakup; Sea ice; Physical geography; Ecology; Oceanography; Biology; Demography; Geology; Meteorology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003631749,0.0001360395,0.0001708632,0.001035139,0.0002846221,0.0005224384,0.0002090481,0.0001751769,0.000601042],"category_scores_gemma":[0.0006174595,0.0001364999,0.0001426678,0.0009077607,0.0004537025,0.0003336787,0.0003725047,0.0001590289,0.0001181689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00100362,"about_ca_system_score_gemma":0.0005374685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.124804,"about_ca_topic_score_gemma":0.2271582,"domain_scores_codex":[0.9998583,0.00003058257,0.00001420325,0.00003761294,0.00002387197,0.00003549867],"domain_scores_gemma":[0.9993975,0.00004996021,0.0002651635,0.00002952686,0.0001360775,0.0001217602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003991231,0.00001002917,0.9969599,0.000009222335,0.00001864968,0.0001094474,0.0002997817,0.00008528066,0.0005202499,0.00001387299,0.0001223321,0.001811467],"study_design_scores_gemma":[7.213375e-7,0.000009541686,0.9995232,0.000002415083,0.000002982365,0.0000240327,0.0002479441,0.00003291895,0.00002950324,0.000002382343,0.000123631,6.759312e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995433,0.0001110805,0.00001764086,0.00002268461,0.000004067681,0.000001448782,0.0001592196,0.000001351282,0.0001392351],"genre_scores_gemma":[0.9992151,0.0001716859,0.00005788111,0.00001834573,0.000006643988,0.000002948353,0.0002904343,9.633478e-7,0.0002360228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.124804,"threshold_uncertainty_score":0.2481551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01117398520831729,"score_gpt":0.2298222461943966,"score_spread":0.2186482609860794,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}